From fc5cb52272d26e7efb7c7f365699a87cb5d278e6 Mon Sep 17 00:00:00 2001
From: kp992 <145801876+kp992@users.noreply.github.com>
Date: Tue, 21 May 2024 06:21:50 +0530
Subject: [PATCH]  ENH: Test Execution for Google Collab (#441)

* Add collab testing

* fix

* Update .github/workflows/collab.yml

enabled larger runner for ubuntu

* add sphinx-proof

* enable build cache

* FIX: fix import

* FIX: pandas relaod

* Revert "FIX: pandas relaod"

This reverts commit b6c5bef6974052404496bafbf9786cbcf3784839.

* FIX: update syntax

* pin pandas in CI

* Revert "pin pandas in CI"

This reverts commit ef7b3541592bee6b17c5b8fb1643ca4f91480deb.

* fetch latest tag

* check docker env

* use some tag

* remove tag

* try different approach to check version

* hide cell and add comment

---------

Co-authored-by: Matt McKay <mmcky@users.noreply.github.com>
Co-authored-by: mmcky <mamckay@gmail.com>
---
 .github/workflows/collab.yml  | 54 +++++++++++++++++++++++++++++++++++
 lectures/inflation_history.md | 12 ++++----
 2 files changed, 60 insertions(+), 6 deletions(-)
 create mode 100644 .github/workflows/collab.yml

diff --git a/.github/workflows/collab.yml b/.github/workflows/collab.yml
new file mode 100644
index 00000000..a785504f
--- /dev/null
+++ b/.github/workflows/collab.yml
@@ -0,0 +1,54 @@
+name: Build Project on Google Collab (Execution)
+on: [pull_request]
+
+jobs:
+  test:
+    runs-on: ubuntu-latest-m
+    container:
+      image: us-docker.pkg.dev/colab-images/public/runtime:latest
+    steps:
+      - uses: actions/checkout@v4
+        with:
+          ref: ${{ github.event.pull_request.head.sha }}
+      - name: Check for dockerenv file
+        run: (ls /.dockerenv && echo Found dockerenv) || (echo No dockerenv)
+      - name: Check python version
+        shell: bash -l {0}
+        run: |
+          python --version
+      - name: Display Pip Versions
+        shell: bash -l {0}
+        run: pip list
+      - name: Download "build" folder (cache)
+        uses: dawidd6/action-download-artifact@v3
+        with:
+          workflow: cache.yml
+          branch: main
+          name: build-cache
+          path: _build
+      # Install build software
+      - name: Install Build Software
+        shell: bash -l {0}
+        run: |
+          pip install jupyter-book==0.15.1 docutils==0.17.1 quantecon-book-theme==0.7.1 sphinx-tojupyter==0.3.0 sphinxext-rediraffe==0.2.7 sphinx-exercise==0.4.1 sphinxcontrib-youtube==1.1.0 sphinx-togglebutton==0.3.1 arviz==0.13.0 sphinx_proof==0.1.3
+      # Build of HTML (Execution Testing)
+      - name: Build HTML
+        shell: bash -l {0}
+        run: |
+          jb build lectures --path-output ./ -n -W --keep-going
+      - name: Upload Execution Reports
+        uses: actions/upload-artifact@v4
+        if: failure()
+        with:
+          name: execution-reports
+          path: _build/html/reports
+      - name: Preview Deploy to Netlify
+        uses: nwtgck/actions-netlify@v2
+        with:
+          publish-dir: '_build/html/'
+          production-branch: main
+          github-token: ${{ secrets.GITHUB_TOKEN }}
+          deploy-message: "Preview Deploy from GitHub Actions"
+        env:
+          NETLIFY_AUTH_TOKEN: ${{ secrets.NETLIFY_AUTH_TOKEN }}
+          NETLIFY_SITE_ID: ${{ secrets.NETLIFY_SITE_ID }}
diff --git a/lectures/inflation_history.md b/lectures/inflation_history.md
index 2f57c0d3..afb36a85 100644
--- a/lectures/inflation_history.md
+++ b/lectures/inflation_history.md
@@ -24,15 +24,15 @@ The `xlrd` package is used by `pandas` to perform operations on Excel files.
 !pip install xlrd
 ```
 
-This lecture also requires `pandas >= 2.1.4`
+<!-- Check for pandas>=2.1.4 for Google Collab Compat -->
 
 ```{code-cell} ipython3
-:tags: [hide-output]
+:tags: [hide-cell]
+from importlib.metadata import version
 from packaging.version import Version
-import pandas as pd
-if Version(pd.__version__) < Version('2.1.4'):
-  !pip install pandas==2.1.4
-  reload(pandas)
+
+if Version(version("pandas")) < Version('2.1.4'):
+    !pip install "pandas>=2.1.4"
 ```
 
 We can then import the Python modules we will use.